diff --git a/ext/DynamicPPLReverseDiffExt.jl b/ext/DynamicPPLReverseDiffExt.jl
index 2586408c9..a1970bd71 100644
--- a/ext/DynamicPPLReverseDiffExt.jl
+++ b/ext/DynamicPPLReverseDiffExt.jl
@@ -25,11 +25,15 @@ function LogDensityProblemsAD.ADgradient(
     )
 end
 
-function DynamicPPL.setmodel(f::LogDensityProblemsAD.ReverseDiffLogDensity{L,Nothing}, model::DynamicPPL.Model) where {L}
+function DynamicPPL.setmodel(
+    f::LogDensityProblemsAD.ReverseDiffLogDensity{L,Nothing}, model::DynamicPPL.Model
+) where {L}
     return Accessors.@set f.ℓ = setmodel(f.ℓ, model)
 end
 
-function DynamicPPL.setmodel(f::LogDensityProblemsAD.ReverseDiffLogDensity{L,C}, model::DynamicPPL.Model) where {L,C}
+function DynamicPPL.setmodel(
+    f::LogDensityProblemsAD.ReverseDiffLogDensity{L,C}, model::DynamicPPL.Model
+) where {L,C}
     new_f = LogDensityProblemsAD.ADGradient(Val(:ReverseDiff), f.ℓ; compile=Val(true)) # TODO: without a input, can get error
     return Accessors.@set new_f.ℓ = setmodel(f.ℓ, model)
 end
diff --git a/test/logdensityfunction.jl b/test/logdensityfunction.jl
index 763bd9fd8..890308cc9 100644
--- a/test/logdensityfunction.jl
+++ b/test/logdensityfunction.jl
@@ -11,7 +11,6 @@ using Test, DynamicPPL, LogDensityProblems
     ∇ℓ = LogDensityProblems.ADgradient(:ReverseDiff, ℓ; compile=Val(false))
     @test DynamicPPL.getmodel(∇ℓ) == model
     @test getmodel(DynamicPPL.setmodel(∇ℓ, model)) == model
-    
     ∇ℓ = LogDensityProblems.ADgradient(:ReverseDiff, ℓ; compile=Val(true))
     new_∇ℓ = DynamicPPL.setmodel(∇ℓ, model)
     @test DynamicPPL.getmodel(new_∇ℓ) == model